11 hours ago

Bash/PowerShell Engineer - AI Training

Braintrust

Hybrid
Part Time
$100,000
Hybrid

Job Overview

Job TitleBash/PowerShell Engineer - AI Training
Job TypePart Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$100,000
LocationHybrid

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Job Description

Role Description

As a remote, hourly paid Bash/PowerShell Engineer - AI Training, you will review AI-generated responses and generate high-quality automation-focused content, evaluating the reasoning quality and step-by-step problem-solving behind scripts and troubleshooting workflows. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in logic, safety, or portability; fact-check technical details; write expert-level explanations and model solutions that demonstrate correct scripting patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, directly helping to improve the world’s premier AI models.

Your Profile

  • Expert-level proficiency in Bash and/or PowerShell scripting.
  • 2–3+ years of hands-on experience in at least one of Bash or PowerShell.
  • Strong experience writing, debugging, and maintaining shell or object-based automation scripts.
  • Ability to evaluate scripts for correctness, readability, safety, performance, and portability across environments.
  • Professional experience in software engineering, DevOps, IT automation, or infrastructure-focused roles.
  • Minimum Bachelor’s degree in Computer Science or a closely related technical field.
  • Significant experience using large language models (LLMs) while coding, troubleshooting, and reviewing scripts.
  • Excellent English writing skills with the ability to document and explain complex automation clearly.
  • Highly preferred: For Bash, strong comfort with awk, sed, and grep; for PowerShell, experience with PowerShell Core, DSC, and Azure PowerShell modules.
  • Preferred: Merged PRs in CLI, DevOps, or infrastructure-related open-source projects; familiarity with CI pipelines, automation workflows, or cloud scripting; previous AI data training or model evaluation work strongly preferred and Minimum C1 English proficiency.

Key Responsibilities

  • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
  • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
  • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Key skills/competency

  • Bash
  • PowerShell
  • Scripting
  • Automation
  • AI Training
  • Large Language Models (LLMs)
  • DevOps
  • Technical Writing
  • Troubleshooting
  • Model Evaluation

Tags:

Bash/PowerShell Engineer
AI training
script review
automation
troubleshooting
content generation
model evaluation
technical writing
logic assessment
error identification
performance optimization
Bash
PowerShell
LLMs
awk
sed
grep
DSC
Azure PowerShell
CI/CD
CLI
scripting
DevOps tools

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How to Get Hired at Braintrust

  • Research SME Careers' mission: Study their role in AI data services and their impact on foundation models.
  • Highlight scripting mastery: Showcase extensive Bash and/or PowerShell expertise, including automation projects and debugging skills.
  • Emphasize AI interaction: Detail significant experience using Large Language Models (LLMs) for coding, troubleshooting, and script review.
  • Tailor resume for AI training: Customize your application with keywords like "AI training data," "model evaluation," and "automation content generation."
  • Prepare for technical deep-dives: Expect in-depth questions on scripting logic, error handling, performance optimization, and portability across environments.

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